code: def test_fast_drop_chunk():
      from speechbrain.augment.time_domain import FastDropChunk
  
      test_waveform = torch.ones([8, 200, 12])
  
      # Edge cases
      no_drop = FastDropChunk(drop_length_low=0, drop_length_high=0)
      assert no_drop(test_waveform).allclose(test_waveform)
      no_drop = FastDropChunk(drop_count_low=0, drop_count_high=0)
      assert no_drop(test_waveform).allclose(test_waveform)
      no_drop = FastDropChunk(drop_start=0, drop_end=0)
      assert no_drop(test_waveform).allclose(test_waveform)
  
file_path: speechbrain/tests/unittests/test_augment.py
imports: import os
  import torch
  import torchaudio
  from speechbrain.dataio.dataio import write_audio
label_desc: Use image node_id 6 for calling a global function with example usage: test_fast_drop_chunk() without return types